Solution :
X | Y | XY | X2 | Y2 |
6 | 3 | 18 | 36 | 9 |
3 | 1 | 3 | 9 | 1 |
7 | 6 | 42 | 49 | 36 |
5 | 4 | 20 | 25 | 16 |
4 | 5 | 20 | 16 | 25 |
n | 5 |
sum(XY) | 103.00 |
sum(X) | 25.00 |
sum(Y) | 19.00 |
sum(X^2) | 135.00 |
sum(Y^2) | 87.00 |
Now ,
Slope of the regression line is
b = 0.8000
Now , y intercept of the line is
a = -0.2000
The equation of the regression line is
= a + bx
= ( -0.2000) + 0.8000x
Compute the least-squares regression equation for the given data set. Round the slope and y-intercept to...
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